Bonita vs Conductor
Bonita
ofelia.com
Conductor
conductor-oss.orgSide by side
| Figure | Bonita | Conductor |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 2 |
| Spec score · Process Orchestration Software | 8.5 (#7) | 7.8 (#15) |
| Spec score · Workflow Orchestration Software | 8.4 (#12) | 7.7 (#27) |
| Deployment | Bonita can be deployed on-premise or self-hosted in a customer’s own infrastructure, including its own cloud, with configurable data residency. | The project documents self-hosting with Docker and says Conductor runs anywhere Docker runs. |
| Integrations | Bonita Fabric lists connectors and APIs for LDAP/AD, CRM platforms, databases, UiPath, REST APIs, ERP systems and Jira. | The integration guide describes event-driven orchestration, MCP tool integration, and Agent2Agent integration with independently deployed agents. |
| Intended users | Bonita BPM is presented for organizations with complex, regulated or mission-critical processes, including banking and insurance, public sector, healthcare and aerospace and defense. | The FAQ says Conductor is designed for developers who write code, with workers and tasks built in a preferred programming language. |
| Support | The product page describes premium enterprise support with direct access to senior engineers and no tiered support model. | The project directs users to its public Slack community to ask questions and share resources. |
Plans
In their own words
Conductor
Conductor is an Apache 2.0 open-source platform for building and orchestrating AI agents and workflows on a durable execution engine. It persists workflow and task state, allowing recovery after worker or infrastructure failure, with retries, timeouts, pause, resume, and termination controls. Workflows can use nested loops, dynamic branches, sub-workflows, and thousands of tasks. Native AI features include LLM tasks, MCP tool discovery and calls, human approval steps, and vector workflows for retrieval-augmented generation. Agents from LangGraph, CrewAI, Google ADK, and the OpenAI SDK can be used. SDKs are listed for Java, Python, TypeScript, .NET, Go, Ruby, and Rust. Conductor documents event-driven and Agent2Agent integrations. It can run anywhere Docker runs, using Redis by default and Elasticsearch for indexing, with replaceable storage and queue backends. Plans include free self-hosted OSS and hosted Developer Edition options.